Package: rangeModelMetadata 0.1.4

rangeModelMetadata: Provides Templates for Metadata Files Associated with Species Range Models

Range Modeling Metadata Standards (RMMS) address three challenges: they (i) are designed for convenience to encourage use, (ii) accommodate a wide variety of applications, and (iii) are extensible to allow the community of range modelers to steer it as needed. RMMS are based on a data dictionary that specifies a hierarchical structure to catalog different aspects of the range modeling process. The dictionary balances a constrained, minimalist vocabulary to improve standardization with flexibility for users to provide their own values. Merow et al. (2019) <doi:10.1111/geb.12993> describe the standards in more detail. Note that users who prefer to use the R package 'ecospat' can obtain it from <https://github.com/ecospat/ecospat>.

Authors:Cory Merow [aut, cre], Brian Maitner [aut], Hannah Owens [aut], Jamie Kass [aut], Brian Enquist [aut], Rob Guralnik [aut], Damaris Zurrell [aut], Christian Koenig [aut]

rangeModelMetadata_0.1.4.tar.gz
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manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
rangeModelMetadata/json (API)

# Install 'rangeModelMetadata' in R:
install.packages('rangeModelMetadata', repos = c('https://cmerow.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cmerow/rangemodelmetadata/issues

On CRAN:

Conda:

ecological-metadata-languageecological-modellingecological-modelsecologyspecies-distribution-modellingspecies-distributions

7.39 score 6 stars 3 packages 18 scripts 5.6k downloads 19 exports 153 dependencies

Last updated from:b5564589e3. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK239
source / vignettesOK252
linux-release-x86_64OK246
macos-release-arm64OK167
macos-oldrel-arm64OK162
windows-develOK200
windows-releaseOK173
windows-oldrelOK146
wasm-releaseOK185

Exports:.rmmLeftJustifycleanForCSVcsvToRMMrmmAutofillBIENrmmAutofillEnvironmentrmmAutofillPackageCitationrmmAutofillspoccrmmCheckEmptyrmmCheckFinalizermmCheckMissingNamesrmmCheckNamermmCheckShinyrmmCheckValuermmCleanNULLsrmmDataDictionaryrmmFamiliesrmmSuggestrmmTemplatermmToCSV

Dependencies:apeaskpassassertthatbackportsbase64encBIENbitbit64blobbroombslibcachemcallrcellrangerclassclassIntclicliprcodetoolscommonmarkconflictedcowplotcpp11crayoncrosstalkcrulcurldata.tableDBIdbplyrdigestdoParalleldplyrdtplyre1071evaluatefarverfastmapfontawesomeforcatsforeachfsgarglegenericsggplot2gluegoogledrivegooglesheets4gtablehavenhighrhmshtmltoolshtmlwidgetshttpcodehttpuvhttridsisobanditeratorsjquerylibjsonlitekableExtraKernSmoothknitrlabelinglaterlatticelazyevalleafletleaflet.providerslifecyclelubridatemagrittrmapsMASSmemoisemimemodelrnlmeoaiopensslotelpillarpkgconfigplyrpngprettyunitsprocessxprogresspromisesproxypspurrrR6raggrappdirsrasterRColorBrewerRcppreadrreadxlrebirdrematchrematch2reprexrgbifridigbiorlangrmarkdownRPostgreSQLrstudioapirvertnetrvests2S7sassscalesselectrsfshinysourcetoolsspspoccstringistringrsvglitesyssystemfontsterratextshapingtibbletidyrtidyselecttidyversetimechangetinytextriebeardtzdbunitsurltoolsutf8uuidvctrsviridisLitevroomwhiskerwithrwkxfunxml2xtableyaml

An overview of making rangeModelMetadata objects
What is an rmm (rangeModelMetadata) object? | Populating an rmm object | Checking an rmm object | Outputting an rmm object | Miscellaneous

Last update: 2023-10-16
Started: 2017-11-30

rangeModelMetadata Function Directory
Primary functions | rmm Autofill functions | rmm Check functions | rmm Utilities

Last update: 2023-10-16
Started: 2017-12-15

rangeModelMetaData with Multiple Species
Authorship | Data | Data prep | Model | Prediction | Assessment | Tidying it all up

Last update: 2023-10-16
Started: 2018-09-17